Demographics details for Florence, OR vs Pine, AZ
Population Overview
Compare main population characteristics in Florence, OR vs Pine, AZ.
| Data | Florence | Pine |
|---|---|---|
| Population | 9,376 | 1,526 |
| Median Age | 57.7 years | 68.7 years |
| Median Income | $57,568 | $54,720 |
| Married Families | 42.0% | 64.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Florence vs Pine
- In Florence, the population is higher at 9,376, compared to 1,526 in Pine.
- The median age in Pine is higher at 68.7 years, compared to 57.7 years in Florence.
- Florence has a higher median income of $57,568 compared to $54,720 in Pine.
- In Pine, the percentage of married families is higher at 64.0%, compared to 42.0% in Florence.
- The poverty level is identical in both Florence and Pine at 10%.
- The unemployment rate in Florence is higher at 4.5%, compared to 4.2% in Pine.
Demographics
Demographics Florence vs Pine provide insight into the diversity of the communities to compare.
| Demographic | Florence | Pine |
|---|---|---|
| Black | 2 | Data is updating |
| White | 87 | 96 |
| Asian | 2 | Data is updating |
| Hispanic | 5 | 4 |
| Two or More Races | 3 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Florence vs Pine
- A higher percentage of Black residents are in Florence at 2% compared to 0% in Pine.
- The percentage of White residents is higher in Pine at 96% compared to 87% in Florence.
- The Asian population is larger in Florence at 2% compared to 0% in Pine.
- The Hispanic community is larger in Florence at 5% compared to 4% in Pine.
- More residents identify as two or more races in Florence at 3% compared to 0% in Pine.
- A greater percentage of American Indian residents live in Florence at 1% compared to 0% in Pine.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Florence | Pine |
|---|---|---|
| Mental Health Not Good | 19.8% | 16.5% |
| Physical Health Not Good | 13.1% | 9.8% |
| Depression | 29.2% | 20.3% |
| Smoking | 16.7% | 15.0% |
| Binge Drinking | 17.0% | 21.2% |
| Obesity | 36.0% | 31.2% |
| Disability Percentage | 25.0% | 36.0% |
Health Statistics Comparison: Florence vs Pine
- More residents in Florence report poor mental health at 19.8% compared to 16.5% in Pine.
- Depression is more prevalent in Florence at 29.2% compared to 20.3% in Pine.
- Smoking is more prevalent in Florence at 16.7% compared to 15.0% in Pine.
- More residents engage in binge drinking in Pine at 21.2% compared to 17.0% in Florence.
- Obesity rates are higher in Florence at 36.0% compared to 31.2% in Pine.
- There is a higher percentage of disabled individuals in Pine at 36.0% compared to 25.0% in Florence.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Florence | Pine |
|---|---|---|
| No Schooling | 0.4% (35) | 0.0% (Data is updating) |
| High School Diploma | 14.2% (1,331) | 21.5% (328) |
| Less than High School | 15.6% (1,467) | 3.8% (58) |
| Bachelor's Degree and Higher | 19.9% (1,865) | 26.6% (406) |
Education Levels Comparison: Florence vs Pine
- A higher percentage of residents in Florence have no formal schooling at 0.4% compared to 0.0% in Pine.
- In Pine, the rate of residents with high school diplomas is higher at 21.5% compared to 14.2% in Florence.
- More residents in Florence have less than a high school education at 15.6% compared to 3.8% in Pine.
- In Pine, a larger share of residents have a bachelor's degree or higher at 26.6% compared to 19.9% in Florence.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.